Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Srdjan Krco"'
Publikováno v:
Sensors, Vol 23, Iss 6, p 3002 (2023)
This research describes the use of high-performance computing (HPC) and deep learning to create prediction models that could be deployed on edge AI devices equipped with camera and installed in poultry farms. The main idea is to leverage an existing
Externí odkaz:
https://doaj.org/article/ff9469ccaf28443aaa7d913ff2322f2b
Autor:
Nenad Gligoric, Srdjan Krco, Liisa Hakola, Kaisa Vehmas, Suparna De, Klaus Moessner, Kristoffer Jansson, Ingmar Polenz, Rob van Kranenburg
Publikováno v:
Sensors, Vol 19, Iss 3, p 586 (2019)
In this paper, we present a method that facilitates Internet of Things (IoT) for building a product passport and data exchange enabling the next stage of the circular economy. SmartTags based on printed sensors (i.e., using functional ink) and a modi
Externí odkaz:
https://doaj.org/article/6fb788dbbcec4402bccb54f0ebc73eca
Autor:
Riccardo Pozza, Stylianos Georgoulas, Klaus Moessner, Michele Nati, Alexander Gluhak, Srdjan Krco
Publikováno v:
Sensors, Vol 16, Iss 11, p 1852 (2016)
In this article, an Arrival and Departure Time Predictor (ADTP) for scheduling communication in opportunistic Internet of Things (IoT) is presented. The proposed algorithm learns about temporal patterns of encounters between IoT devices and predicts
Externí odkaz:
https://doaj.org/article/9ba9680b9b964b39a87a0ae3c1c6d60d
This paper describes research effort aimed at the use of machine learning, Internet of Things, and edge computing for a use case in health, mainly the prevention of the spread of infectious diseases. The main motivation for the research was the Covid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb9320620702a0b86b5ca2775d0cb4b8
https://zenodo.org/record/7791505
https://zenodo.org/record/7791505
Publikováno v:
Preprints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::e8e4358122acbe6356ed90c3804b6251
Publikováno v:
2021 International Balkan Conference on Communications and Networking (BalkanCom).
The paper presents industry 4.0 scenario for predictive maintenance based on 3-axis accelerometer sensors and AI platform for monitoring of the machines. The prototype of the service is developed for a company to monitor their machinery for manufactu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bbe44037674e216324497a4c1dd2d40
https://doi.org/10.1109/balkancom53780.2021.9593121
https://doi.org/10.1109/balkancom53780.2021.9593121
Autor:
Rob van Kranenburg, Tomo Popovic, Vesna Maraš, Liisa Hakola, Sanja Radonjic, Srdjan Krco, Stevan Sandi
Publikováno v:
Popović, T, Krčo, S, Maraš, V, Hakola, L, Radonjić, S, van Kranenburg, R & Šandi, S 2021, ' A novel solution for counterfeit prevention in the wine industry based on IoT, smart tags, and crowd-sourced information ', Internet of Things, vol. 14, 100375 . https://doi.org/10.1016/j.iot.2021.100375
This paper describes a novel solution for counterfeit prevention and brand protection in the wine industry. The presented approach combines Internet of Things, Cloud, and Mobile technologies with the use of custom designed smart tags applied to each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17170bd21d911665318ba5d987ac70ac
https://zenodo.org/record/7791733
https://zenodo.org/record/7791733
Autor:
Aida Ismailisufi, Vesna Maraš, Tomo Popovic, Nenad Gligoric, Srdjan Krco, Stevan Cakic, Srdjan Kupresanin
Publikováno v:
2021 25th International Conference on Information Technology (IT).
This paper describes an effort to utilize IoT, OCR, and blockchain technology to create wine track and trace system evaluated in a real-life environment. The research is focused on digital transformation in traditional wine supply chain, using comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cde159d676c40d78def1b20265d6f30
https://doi.org/10.1109/it51528.2021.9390117
https://doi.org/10.1109/it51528.2021.9390117
Publikováno v:
Telematics and Informatics. 35:579-594
In this paper we have presented a smart classroom system that is able to classify students’ satisfaction with the lecture quality by examining parameters of the physical environment obtained using different smart devices. The system is based on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::658b5c80c7c8819c6d11f5c87ad07b29
https://doi.org/10.1016/j.tele.2017.06.014
https://doi.org/10.1016/j.tele.2017.06.014
Autor:
Kristoffer Jansson, Ingmar Polenz, Rob van Kranenburg, Nenad Gligoric, Kaisa Vehmas, Liisa Hakola, Klaus Moessner, Srdjan Krco, Suparna De
Publikováno v:
Sensors (Basel, Switzerland)
Gligoric, N, Krco, S, Hakola, L, Vehmas, K, De, S, Moessner, K, Jansson, K, Polenz, I & Van Kranenburg, R 2019, ' SmartTags : IoT Product Passport for Circular Economy Based on Printed Sensors and Unique Item-Level Identifiers ', Sensors, vol. 19, no. 3, 586 . https://doi.org/10.3390/s19030586
Sensors
Volume 19
Issue 3
Sensors, Vol 19, Iss 3, p 586 (2019)
Gligoric, N, Krco, S, Hakola, L, Vehmas, K, De, S, Moessner, K, Jansson, K, Polenz, I & Van Kranenburg, R 2019, ' SmartTags : IoT Product Passport for Circular Economy Based on Printed Sensors and Unique Item-Level Identifiers ', Sensors, vol. 19, no. 3, 586 . https://doi.org/10.3390/s19030586
Sensors
Volume 19
Issue 3
Sensors, Vol 19, Iss 3, p 586 (2019)
In this paper, we present a method that facilitates Internet of Things (IoT) for building a product passport and data exchange enabling the next stage of the circular economy. SmartTags based on printed sensors (i.e., using functional ink) and a modi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bf0da594c8317e29a9411126d0b7909
https://pubmed.ncbi.nlm.nih.gov/30704112
https://pubmed.ncbi.nlm.nih.gov/30704112